Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912556893> ?p ?o ?g. }
- W2912556893 endingPage "335" @default.
- W2912556893 startingPage "318" @default.
- W2912556893 abstract "Flood modelling inputs used to create flood hazard maps are normally based on the assumption of data stationarity for flood frequency analysis. However, changes in the behaviour of climate systems can lead to nonstationarity in flood series. Here, we develop flood hazard maps for Ho Chi Minh City, Vietnam, under nonstationary conditions using extreme value analysis, a coupled 1D–2D model and high-resolution topographical data derived from LiDAR (Light Detection and Ranging) data. Our findings indicate that ENSO (El Niño Southern Oscillation) and PDO (Pacific Decadal Oscillation) influence the magnitude and frequency of extreme rainfall, while global sea-level rise causes nonstationarity in local sea levels, having an impact on flood risk. The detailed flood hazard maps show that areas of high flood potential are located along river banks, with 0.60 km2 of the study area being unsafe for people, vehicles and buildings (H5 zone) under a 100-year return period scenario." @default.
- W2912556893 created "2019-02-21" @default.
- W2912556893 creator A5023142292 @default.
- W2912556893 creator A5031436616 @default.
- W2912556893 creator A5090992546 @default.
- W2912556893 date "2019-02-17" @default.
- W2912556893 modified "2023-10-17" @default.
- W2912556893 title "High-resolution flood hazard mapping based on nonstationary frequency analysis: case study of Ho Chi Minh City, Vietnam" @default.
- W2912556893 cites W1500657154 @default.
- W2912556893 cites W1585569240 @default.
- W2912556893 cites W1592305242 @default.
- W2912556893 cites W1792626056 @default.
- W2912556893 cites W1915334364 @default.
- W2912556893 cites W192580325 @default.
- W2912556893 cites W1966916217 @default.
- W2912556893 cites W1967990086 @default.
- W2912556893 cites W1969657179 @default.
- W2912556893 cites W1973032455 @default.
- W2912556893 cites W1973359108 @default.
- W2912556893 cites W1978988881 @default.
- W2912556893 cites W1982413018 @default.
- W2912556893 cites W2006605186 @default.
- W2912556893 cites W2008435261 @default.
- W2912556893 cites W2010166647 @default.
- W2912556893 cites W2013016703 @default.
- W2912556893 cites W2018247865 @default.
- W2912556893 cites W2022099789 @default.
- W2912556893 cites W2022787571 @default.
- W2912556893 cites W2025684543 @default.
- W2912556893 cites W2028267147 @default.
- W2912556893 cites W2028427854 @default.
- W2912556893 cites W2029891588 @default.
- W2912556893 cites W2033904036 @default.
- W2912556893 cites W2052642348 @default.
- W2912556893 cites W2053123887 @default.
- W2912556893 cites W2053269938 @default.
- W2912556893 cites W2054129669 @default.
- W2912556893 cites W2058201684 @default.
- W2912556893 cites W2058998445 @default.
- W2912556893 cites W2063774211 @default.
- W2912556893 cites W2073238640 @default.
- W2912556893 cites W2074323214 @default.
- W2912556893 cites W2079377422 @default.
- W2912556893 cites W2079823459 @default.
- W2912556893 cites W2081059972 @default.
- W2912556893 cites W2087805724 @default.
- W2912556893 cites W2088727480 @default.
- W2912556893 cites W2094217930 @default.
- W2912556893 cites W2101261195 @default.
- W2912556893 cites W2102707381 @default.
- W2912556893 cites W2107705106 @default.
- W2912556893 cites W2108212632 @default.
- W2912556893 cites W2111787013 @default.
- W2912556893 cites W2119948104 @default.
- W2912556893 cites W2125270629 @default.
- W2912556893 cites W2130091784 @default.
- W2912556893 cites W2136328522 @default.
- W2912556893 cites W2148650246 @default.
- W2912556893 cites W2153638359 @default.
- W2912556893 cites W2158196600 @default.
- W2912556893 cites W2159430764 @default.
- W2912556893 cites W2161240433 @default.
- W2912556893 cites W2165087784 @default.
- W2912556893 cites W2170589321 @default.
- W2912556893 cites W2171692085 @default.
- W2912556893 cites W2267924112 @default.
- W2912556893 cites W2290043155 @default.
- W2912556893 cites W2328573691 @default.
- W2912556893 cites W2346050153 @default.
- W2912556893 cites W2403005641 @default.
- W2912556893 cites W2465132187 @default.
- W2912556893 cites W2536345258 @default.
- W2912556893 cites W2596245284 @default.
- W2912556893 cites W2610234286 @default.
- W2912556893 cites W2620704805 @default.
- W2912556893 cites W2765676496 @default.
- W2912556893 cites W2885597864 @default.
- W2912556893 cites W3021563632 @default.
- W2912556893 cites W346797951 @default.
- W2912556893 cites W4230271837 @default.
- W2912556893 cites W4238406547 @default.
- W2912556893 cites W4244696580 @default.
- W2912556893 cites W4244727747 @default.
- W2912556893 cites W4253027670 @default.
- W2912556893 cites W4254968920 @default.
- W2912556893 doi "https://doi.org/10.1080/02626667.2019.1581363" @default.
- W2912556893 hasPublicationYear "2019" @default.
- W2912556893 type Work @default.
- W2912556893 sameAs 2912556893 @default.
- W2912556893 citedByCount "18" @default.
- W2912556893 countsByYear W29125568932019 @default.
- W2912556893 countsByYear W29125568932020 @default.
- W2912556893 countsByYear W29125568932021 @default.
- W2912556893 countsByYear W29125568932022 @default.
- W2912556893 countsByYear W29125568932023 @default.
- W2912556893 crossrefType "journal-article" @default.
- W2912556893 hasAuthorship W2912556893A5023142292 @default.
- W2912556893 hasAuthorship W2912556893A5031436616 @default.